Hong Sungmin, Giese Anne-Katrin, Schirmer Markus D, Bonkhoff Anna K, Bretzner Martin, Rist Pamela, Dalca Adrian V, Regenhardt Robert W, Etherton Mark R, Donahue Kathleen L, Nardin Marco, Mocking Steven J T, McIntosh Elissa C, Attia John, Benavente Oscar R, Cole John W, Donatti Amanda, Griessenauer Christoph J, Heitsch Laura, Holmegaard Lukas, Jood Katarina, Jimenez-Conde Jordi, Roquer Jaume, Kittner Steven J, Lemmens Robin, Levi Christopher R, McDonough Caitrin W, Meschia James F, Phuah Chia-Ling, Rolfs Arndt, Ropele Stefan, Rosand Jonathan, Rundek Tatjana, Sacco Ralph L, Schmidt Reinhold, Enzinger Christian, Sharma Pankaj, Slowik Agnieszka, Sousa Alessandro, Stanne Tara M, Strbian Daniel, Tatlisumak Turgut, Thijs Vincent, Vagal Achala, Wasselius Johan, Woo Daniel, Zand Ramin, McArdle Patrick F, Worrall Bradford B, Wu Ona, Jern Christina, Lindgren Arne G, Maguire Jane, Tomppo Liisa, Golland Polina, Rost Natalia S
J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Front Neurol. 2021 Sep 10;12:700616. doi: 10.3389/fneur.2021.700616. eCollection 2021.
To personalize the prognostication of post-stroke outcome using MRI-detected cerebrovascular pathology, we sought to investigate the association between the excessive white matter hyperintensity (WMH) burden unaccounted for by the traditional stroke risk profile of individual patients and their long-term functional outcomes after a stroke. We included 890 patients who survived after an acute ischemic stroke from the MRI-Genetics Interface Exploration (MRI-GENIE) study, for whom data on vascular risk factors (VRFs), including age, sex, atrial fibrillation, diabetes mellitus, hypertension, coronary artery disease, smoking, prior stroke history, as well as acute stroke severity, 3- to-6-month modified Rankin Scale score (mRS), WMH, and brain volumes, were available. We defined the unaccounted WMH (uWMH) burden modeling of expected WMH burden based on the VRF profile of each individual patient. The association of uWMH and mRS score was analyzed by linear regression analysis. The odds ratios of patients who achieved full functional independence (mRS < 2) in between trichotomized uWMH burden groups were calculated by pair-wise comparisons. The expected WMH volume was estimated with respect to known VRFs. The uWMH burden was associated with a long-term functional outcome (β = 0.104, < 0.01). Excessive uWMH burden significantly reduced the odds of achieving full functional independence after a stroke compared to the low and average uWMH burden [OR = 0.4, 95% CI: (0.25, 0.63), < 0.01 and OR = 0.61, 95% CI: (0.42, 0.87), < 0.01, respectively]. The excessive amount of uWMH burden unaccounted for by the traditional VRF profile was associated with worse post-stroke functional outcomes. Further studies are needed to evaluate a lifetime brain injury reflected in WMH unrelated to the VRF profile of a patient as an important factor for stroke recovery and a plausible indicator of brain health.
为了利用磁共振成像(MRI)检测到的脑血管病变实现中风后预后的个性化,我们试图研究个体患者传统中风风险概况无法解释的过量白质高信号(WMH)负担与其中风后的长期功能结局之间的关联。我们纳入了磁共振成像-遗传学界面探索(MRI-GENIE)研究中890例急性缺血性中风后存活的患者,这些患者可获取血管危险因素(VRF)的数据,包括年龄、性别、心房颤动、糖尿病、高血压、冠状动脉疾病、吸烟、既往中风史,以及急性中风严重程度、3至6个月改良Rankin量表评分(mRS)、WMH和脑容量。我们根据每个患者的VRF概况对预期WMH负担进行建模,定义了未解释的WMH(uWMH)负担。通过线性回归分析来分析uWMH与mRS评分之间的关联。通过两两比较计算在三分法划分的uWMH负担组中实现完全功能独立(mRS<2)的患者的比值比。根据已知的VRF估计预期的WMH体积。uWMH负担与长期功能结局相关(β=0.104,P<0.01)。与低uWMH负担和中等uWMH负担相比,过量的uWMH负担显著降低了中风后实现完全功能独立的几率[比值比分别为0.4,95%置信区间:(0.25,0.63),P<0.01和0.61,95%置信区间:(0.42,0.87),P<0.01]。传统VRF概况无法解释的过量uWMH负担与中风后更差的功能结局相关。需要进一步研究以评估与患者VRF概况无关的WMH中反映的终身脑损伤,作为中风恢复的重要因素和脑健康的合理指标。